ML
999 birr
Machine Learning
Build real intuition for how machines learn from data — from labeled examples all the way to finding structure with no labels at all.
Syllabus
What you'll actually learn
Every topic below is covered hands-on, with projects — not just slides.
01
Supervised Learning
Train models on labeled data — regression and classification, plus how to evaluate whether a model is actually good.
02
NLP & Classification
Work with real text data: preprocessing, feature extraction, and building classifiers that sort text into categories.
03
Unsupervised Learning
Find structure in data with no labels — clustering and dimensionality reduction on real datasets.
Ready to start Machine Learning?
Registration takes two minutes. Seats are limited per cohort.